From Rigless
Notes from the workbench.
Product updates, practical engineering, and honest thinking about how coding agents should work.
Featured · Perspectives
Choose your agent. Choose your model. Keep your code.
Rigless is built around control over your coding agent, your model provider, and your source code.
Latest articles
RSSProduct
What model choice needs around it
Agent compatibility, clear usage limits, and useful source handoffs make model choice practical as a project grows.
Product
Check the app people will actually use
Check an observable interaction, understand Free and hosted verification tools, and repeat the check at the public URL.
Engineering
Build memory is not runtime memory
Diagnose a failed build separately from the running app, understand bounded resource retries, and keep the setup reproducible.
Product
Durable AI coding without a development VM
How Browser projects save work to your account, which tools they provide, and how publishing and source export fit the workflow.
Engineering
Test a coding agent beyond its first answer
Evaluate file changes, follow-up turns, tools, and reconnects, and keep claims tied to the agent and model combination actually checked.
Product
Side questions that leave useful decisions behind
Use temporary side discussions carefully around shared files, then record decisions that future work can carry forward.
Engineering
Publish a custom stack with a reproducible launch setup
Use verified build and startup commands to publish a custom app and leave instructions useful to another host.
Comparisons
Choosing a free AI coding tool: cost, control, and code
Evaluate a free coding tool by the task it can complete, the limits it includes, and the source you can take with you.
Comparisons
Rigless and Claude Code: choosing your agent and model
Compare agent and model choice, current local and remote workflows, and what you need to continue from your source.
Comparisons
Rigless, Lovable, Bolt, and v0: compare the workflow and exit path
Compare documented repository workflows, Rigless agent choices, and the work needed to run an app outside its original builder.
Comparisons
Rigless, Cursor, and GitHub Copilot: choose your workflow
Compare current Cursor and GitHub Copilot workflows with Rigless, using agent selection, review, and repository handoff as the criteria.
Comparisons
Rigless and Replit Agent: compare tools, repositories, and portability
Compare repository workflows and Rigless agent choice, and plan for source, configuration, and data when moving an app.
Comparisons
Rigless and Devin: compare agent choice and task handoff
Evaluate task supervision, supported agent choices, and a repository result you can inspect and continue independently.